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Benchmarking attribute selection techniques for discrete class data mining

✍ Scribed by Hall, M.A.; Holmes, G.


Book ID
120023019
Publisher
IEEE
Year
2003
Tongue
English
Weight
667 KB
Volume
15
Category
Article
ISSN
1041-4347

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Benchmarking Attribute Selection Techniq
✍ Hall M.A., Holmes J. πŸ“‚ Library πŸ“… 2003 🌐 English βš– 228 KB

Data engineering is generally considered to be a central issue in the development of data mining applications. The success of many learning schemes, in their attempts to construct models of data, hinges on the reliable identification of a small set of highly predictive attributes. The inclusion of i